Advanced Chatbots with Deep Learning and Python

Packt via Coursera

Coursera based on 0 ratings

Likes

Overview

This course is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development. Learners will gain an understanding of the fundamental differences between conventional chatbots and those powered by deep learning, including generative and retrieval models. As the course progresses, you will delve into the architecture and development of deep learning-based chatbots....

Syllabus

Introduction

In this module, we will cover the foundational details of the course and instructor, introducing learners to the benefits of learning through the AI Sciences platform. Well explore the overall course structure, highlighting key topics like chatbot technology, its comparison to other systems, and the deep learning frameworks involved.

Fundamentals of Chatbots for Deep Learning

In this module, we will explore the core fundamentals of chatbots, focusing on how deep learning enhances chatbot capabilities. We will compare conventional chatbots with AI-based ones and dive into specific use cases, such as how chatbots function in healthcare, business, and ecommerce, delivering tailored experiences and operational efficiencies.

Deep Learning-Based Chatbot Architecture and Development

In this module, we will dive deep into the architecture and development of chatbots using deep learning. Learners will build chatbots from scratch by implementing frameworks, preparing data, tokenizing text, and training models using tools like TensorFlow and Keras. The module culminates in testing chatbot predictions and optimizing performance.